Dynamic Control and Machine Learning for Thermal Management, Energy Utilization, and Environment
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".
Deadline for manuscript submissions: closed (15 February 2022) | Viewed by 16107
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Special Issue Editors
Interests: nano-materials; machine learning; optimization; design of experiments; thermal sciences; numerical analysis
Special Issues, Collections and Topics in MDPI journals
Interests: renewable energies; nanotechnology; IC engines
Special Issues, Collections and Topics in MDPI journals
Interests: renewable energy; emissions; nanoparticles; combustion; alternative fuel; machine learning; sustainable materials
Special Issues, Collections and Topics in MDPI journals
Interests: biochar; biofuel; biomass utilization; functionalized nanomaterial; machine learning; techno-economic analysis; life cycle assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Temperature is controlled using technology in a thermal management system. Thermodynamics, heat transfer, and fluid flow are the foundations of this technology. The gap between the system's specifications and its requirements is the issue that thermal management systems must address. Filling this void necessitates a variety of strategies, ranging from heating and cooling to heat removal, temperature cycling, and temperature uniformity. Thermal management is essential in the automotive, aerospace, foundry, and manufacturing industries for protecting and insulating devices.
On the other hand, the world is rapidly becoming a global village as the world's population demands more energy on a daily basis, despite the fact that the Earth's shape cannot change. The demand for energy and related services to support human social and economic development, welfare, and health is increasing. All societies demand energy services to meet basic human needs such as health, lighting, cooking, space comfort, mobility, and communication, as well as to serve as generative processes.
Optimized and effective thermal management systems and energy utilization are not continuously growing research areas in academia and industry. This Special Issue bonds these two aspects as energy and thermal management are strongly inter-related. The role of different types of controls, especially dynamics control, in enhancing the thermal processes and fluid flow situations in high-speed vehicles, automobiles, aerospace vehicles, etc. are focused on. Numerical simulation methods and experimental analysis for various types of thermal management systems are covered. The focus of this Special Issue will also extend to research on energy utilization and the environment. The use of different modeling methods using machine learning techniques is quite new and tremendously growing in these fields and, hence, also falls within the scope of this Special Issue.
Dr. Asif Afzal
Dr. Manzoore Elahi M. Soudagar
Dr. Islam Md Rizwanul Fattah
Dr. Nazia Hossain
Guest Editors
Manuscript Submission Information
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Keywords
- thermal analysis
- heat transfer
- fluid flow
- battery modules
- phase change materials
- bio-fuels
- alternative sources
- emission control
- performance
- characterization
- numerical simulation
- optimization
- machine learning
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